Synthetic Multi-Day Electricity Price Forecasting Dataset: Actual Exogenous Forecasts
This dataset is published on Zenodo and provides synthetic hourly data for multi-day electricity price forecasting, including actual exogenous forecast variables for research and model development.
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Citation
Description
Synthetic hourly dataset mirroring the structure and statistical behaviour of the household electricity demand, dynamic price signal, and battery state-of-charge profiles from the original dataset. It was generated via STL decomposition and block bootstrap resampling, preserving daily seasonality, long-run trends, short-term autocorrelation, and the coupling between demand, price, and storage dynamics, making it suitable for risk-based scheduling model development.
External resources
- Zenodo record: https://zenodo.org/records/19134332
- Indexed in OpenAIRE